An API-based Search System for One Click Access to Information. - Dan Ionita; Niek Tax; Djoerd Hiemstra (NTCIR, 2013)

Towards understanding the understandability of UML models. - Chintan Amrit; Niek Tax (MiSE, 2014)

Analyzing a practitioner perspective on relevance of published empirical research in Requirements Engineering. - Niek Tax (CoRR, 2014)

A cross-benchmark comparison of 87 learning to rank methods. - Niek Tax; Sander Bockting; Djoerd Hiemstra (Inf. Process. Manag., 2015)

On Generation of Time-based Label Refinements. - Niek Tax; Emin Alasgarov; Natalia Sidorova; Reinder Haakma (CS&P, 2016)

Event Abstraction for Process Mining Using Supervised Learning Techniques. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (IntelliSys (1), 2016)

Log-based Evaluation of Label Splits for Process Models. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (KES, 2016)

Heuristic approaches for generating Local Process Models through log projections. - Niek Tax; Natalia Sidorova; Wil M. P. van der Aalst; Reinder Haakma (SSCI, 2016)

Mining local process models. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (J. Innov. Digit. Ecosyst., 2016)

Heuristics for High-Utility Local Process Model Mining. - Benjamin Dalmas; Niek Tax; Sylvie Norre (ATAED@Petri Nets/ACSD, 2017)

Predictive Business Process Monitoring with LSTM Neural Networks. - Niek Tax; Ilya Verenich; Marcello La Rosa; Marlon Dumas (CAiSE, 2017)

Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models. - Felix Mannhardt; Niek Tax (RADAR+EMISA@CAiSE, 2017)

Ranking Learning-to-Rank Methods. - Djoerd Hiemstra; Niek Tax; Sander Bockting (LEARNER@ICTIR, 2017)

Mining Local Process Models and Their Correlations. - Laura Genga; Niek Tax; Nicola Zannone (SIMPDA (Revised Selected Papers), 2017)

On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining. - Niek Tax; Laura Genga; Nicola Zannone (SIMPDA, 2017)

Time-Based Label Refinements to Discover More Precise Process Models. - Niek Tax; Emin Alasgarov; Natalia Sidorova; Wil M. P. van der Aalst; Reinder Haakma (CoRR, 2017)

Mining Process Model Descriptions of Daily Life through Event Abstraction. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (CoRR, 2017)

Mining Non-Redundant Sets of Generalizing Patterns from Sequence Databases. - Niek Tax; Marlon Dumas (CoRR, 2017)

LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World. - Niek Tax; Natalia Sidorova; Wil M. P. van der Aalst; Reinder Haakma (Petri Nets, 2018)

Alarm-Based Prescriptive Process Monitoring. - Irene Teinemaa; Niek Tax; Massimiliano de Leoni; Marlon Dumas; Fabrizio Maria Maggi (BPM (Forum), 2018)

An Experimental Evaluation of the Generalizing Capabilities of Process Discovery Techniques and Black-Box Sequence Models. - Niek Tax; Sebastiaan J. van Zelst; Irene Teinemaa (BPMDS/EMMSAD@CAiSE, 2018)

Human Activity Prediction in Smart Home Environments with LSTM Neural Networks. - Niek Tax (Intelligent Environments, 2018)

Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (Intelligent Environments, 2018)

Indulpet Miner: Combining Discovery Algorithms. - Sander J. J. Leemans; Niek Tax; Arthur H. M. ter Hofstede (OTM Conferences (1), 2018)

Foundations of Prescriptive Process Monitoring. - Irene Teinemaa; Niek Tax; Massimiliano de Leoni; Marlon Dumas; Fabrizio Maria Maggi (CoRR, 2018)

Automatic Playlist Continuation through a Composition of Collaborative Filters. - Irene Teinemaa; Niek Tax; Carlos Bentes (CoRR, 2018)

The imprecisions of precision measures in process mining. - Niek Tax; Xixi Lu 001; Natalia Sidorova; Dirk Fahland; Wil M. P. van der Aalst (Inf. Process. Lett., 2018)

Interest-driven discovery of local process models. - Niek Tax; Benjamin Dalmas; Natalia Sidorova; Wil M. P. van der Aalst; Sylvie Norre (Inf. Syst., 2018)

Heuristic Mining Approaches for High-Utility Local Process Models. - Benjamin Dalmas; Niek Tax; Sylvie Norre (Trans. Petri Nets Other Model. Concurr., 2018)

Mining Insights from Weakly-Structured Event Data. - Niek Tax (CoRR, 2019)

Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version). - Anja F. Syring; Niek Tax; Wil M. P. van der Aalst (CoRR, 2019)

Generating time-based label refinements to discover more precise process models. - Niek Tax; Emin Alasgarov; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (J. Ambient Intell. Smart Environ., 2019)

Discovering more precise process models from event logs by filtering out chaotic activities. - Niek Tax; Natalia Sidorova; Wil M. P. van der Aalst (J. Intell. Inf. Syst., 2019)

Evaluating Conformance Measures in Process Mining Using Conformance Propositions. - Anja F. Syring; Niek Tax; Wil M. P. van der Aalst (Trans. Petri Nets Other Model. Concurr., 2019)

An interdisciplinary comparison of sequence modeling methods for next-element prediction. - Niek Tax; Irene Teinemaa; Sebastiaan J. van Zelst (Softw. Syst. Model., 2020)

Machine Learning for Fraud Detection in E-Commerce: A Research Agenda. - Niek Tax; Kees Jan de Vries; Mathijs de Jong; Nikoleta Dosoula; Bram van den Akker; Jon Smith; Olivier Thuong; Lucas Bernardi (CoRR, 2021)

Causal Reasoning over Control-Flow Decisions in Process Models. - Sander J. J. Leemans; Niek Tax (CAiSE, 2022)

Fire now, fire later: alarm-based systems for prescriptive process monitoring. - Stephan A. Fahrenkrog-Petersen; Niek Tax; Irene Teinemaa; Marlon Dumas; Massimiliano de Leoni; Fabrizio Maria Maggi; Matthias Weidlich 001 (Knowl. Inf. Syst., 2022)

Explaining Predictive Uncertainty with Information Theoretic Shapley Values. - David S. Watson; Joshua O'Hara; Niek Tax; Richard Mudd; Ido Guy (NeurIPS, 2023)

TCE: A Test-Based Approach to Measuring Calibration Error. - Takuo Matsubara; Niek Tax; Richard Mudd; Ido Guy (UAI, 2023)

Online Learning with Sublinear Best-Action Queries. - Matteo Russo 002; Andrea Celli; Riccardo Colini-Baldeschi; Federico Fusco; Daniel Haimovich; Dima Karamshuk; Stefano Leonardi 001; Niek Tax (NeurIPS, 2024)

On the Convergence of Loss and Uncertainty-based Active Learning Algorithms. - Daniel Haimovich; Dima Karamshuk; Fridolin Linder; Niek Tax; Milan Vojnovic (NeurIPS, 2024)

Active learning with biased non-response to label requests. - Thomas Robinson; Niek Tax; Richard Mudd; Ido Guy (Data Min. Knowl. Discov., 2024)

Measuring multi-calibration. - Ido Guy; Daniel Haimovich; Fridolin Linder; Nastaran Okati; Lorenzo Perini; Niek Tax; Mark Tygert (CoRR, 2025)